Qualifications:
- Academic background or strong interest in financial market microstructure data analysis
- Proficiency in Python or similar programming languages
- Educational background in Statistics, Mathematics, Computer Science, Physics, or related STEM fields
- Fundamental understanding of quantitative research methodologies and lightGBM, XGBoost or any machine learning packages
Preferred Qualifications:
- Experience with C++ on Linux or Unix-like platforms
- Knowledge of database management and SQL operations
- Familiarity with version control systems (Git)
- Research competencies and experience
Responsibilities:
- Assist in developing and enhancing existing trading models and strategies
- Support financial data analysis and market research projects
- Provide analytical support to experienced traders and researchers
Job Summary:
The Statistician/Data Scientist will be responsible for all advanced statistical methods utilized for improving product quality, production yield, and factory effectiveness as well as finding the root-causes, along with other consulting services such as customer targeting and lead scoring in support of sales and marketing activities worldwide.
Key Responsibilities:
• Design, implement, and refine advanced statistical/Machine Learning models to support product quality improvement, increasing yield and factory effectiveness.
• Cultivate strong relationships with production line engineers, IT, and other key stakeholders to ensure alignment of modeling initiatives with company objectives and to identify new hypotheses for model improvements.
• Scale out modeling capacity by driving infrastructure improvements such as automation of data preparations, model training, implementation, and optimization.
• Support integration of models into tools for use by product engineers and business analysts.
• Engage with customers to develop and customized data analytics solutions to address special needs.
• Address ad hoc queries from management and present actionable recommendations in a clear, concise, and convincing manner.
• Communicate the application and benefits of using various predictive modeling techniques to improve decision-making to customers and stakeholders.
• Collaborate effectively with team members, whether leading projects or supporting initiatives led by others.
• Provide direction, training, and guidance to less experienced team members.
<About the job>:
The Data Science & AI team of headquarter IT is developing the frontier and practical analytic technologies that enhance the data value. As the data scientist, you'll join the AI/Big Data Analytics program/projects related to management topics, including Commercial/Industrial Engineering/Supply Chain/Financial Performance/Operation...etc., to build the model or algorithm to empower data-driven & analytics-driven for driving business value from data insights in this world-class company (Fortune Global 500, 22nd).
<Job Description>:
.Design, implement and refine advanced Statistical Modeling/Machine Learning/Deep Learning/Numerical Simulation/Optimization Algorithm Models(at least one of the fields)
.Ensure alignment of modeling initiatives with the requirement goal defined by key stakeholders and company objectives and identify new hypotheses for model improvements.
.Executing big data analysis and predictive analytics projects include feature engineering, model building, algorithm development, etc.
.Works closely with a team of data system analysts, business data analysts, data engineers, data platform architects, etc.
.Collaborate effectively with team members, whether leading tasks or supporting initiatives led by others.
.Self-motivated, Result-oriented, and interested in applying quantitative methods to solving business and engineering problems.
<Skills>
.Experience with any one of Machine Learning, Statistical Modeling, Deep Learning(Nature Language/Image), Econometric Modeling, Optimization Algorithm(OR), Numerical Simulation..., etc., model/algorithm building of the practical application in the industry.
.Familiarity with programming languages like Python or R, or Java. (Good programming skills in Python is a plus).
.Advanced ability to perform Exploratory Data Analysis and working knowledge of statistics.
.Ability to visualize data in the most effective way possible for a given task, especially visualize models and results and debug and troubleshoot code and models.
.Big on finding the many insights based on the data and being passionate and patient about working with complex data.